babdulhakim2

AI-Blocks

A powerfull and intuitive WYSIWYG interface that allows anyone to create Machine Learning models!

AI-Staturdays

Series of project built for AI Saturday, a program focused at learning and sharing knowledge about Machine learning and Artificial Intelligence every Saturday.

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

dash-twitter-sentiment

Sentiment analysis for twitter data using Dash visualization framework

django-subdomains-chnk

A subdomain package for the django

financial-analysis-with-llm

The application uses a combination of natural language processing (NLP), and financial analysis techniques to extract, process, and analyze data from uploaded financial documents (Excel format). It provides insights such as transaction summaries, suspicious trends, cash deposit detection, entity recognition, and potential ML/TF activities.

pet_image_classification

This project is part of the Udacity Nano degree on AI programming with Python. The purpose is to demonstrate using python to classify pet images on a retrained model. Chosen models are resnet, vgg and alexnet

python_cnn

Pythonic Convolutional Neural Network built with Numpy. This network is trained to detect alphanumeric characters.

quizapp

Simple quiz app implemented with Flutter.io

scholar-llm

babdulhakim2/financial-analysis-with-llm

The application uses a combination of natural language processing (NLP), and financial analysis techniques to extract, process, and analyze data from uploaded financial documents (Excel format). It provides insights such as transaction summaries, suspicious trends, cash deposit detection, entity recognition, and potential ML/TF activities.

babdulhakim2/scholar-llm

babdulhakim2/dash-twitter-sentiment

Sentiment analysis for twitter data using Dash visualization framework

babdulhakim2/AI-Staturdays

Series of project built for AI Saturday, a program focused at learning and sharing knowledge about Machine learning and Artificial Intelligence every Saturday.

babdulhakim2/pet_image_classification

This project is part of the Udacity Nano degree on AI programming with Python. The purpose is to demonstrate using python to classify pet images on a retrained model. Chosen models are resnet, vgg and alexnet

babdulhakim2/quizapp

Simple quiz app implemented with Flutter.io

babdulhakim2/image-classifier-pytorch

babdulhakim2/pdf-chat-with-llm-rag

This project allows you to upload multiple PDF and query the content using LLM and RAG for context-aware conversations based on PDFs.

babdulhakim2/speechbrain

A PyTorch-based Speech Toolkit

babdulhakim2/AGiXT

AGiXT is a dynamic AI Agent Automation Platform that seamlessly orchestrates instruction management and complex task execution across diverse AI providers. Combining adaptive memory, smart features, and a versatile plugin system, AGiXT delivers efficient and comprehensive AI solutions.

babdulhakim2/AndroidCardView

Creating a simple Android dashboard using cardview

babdulhakim2/babdulhakim.github.io

babdulhakim2/babdulhakim2.github.io

babdulhakim2/C3D-tensorflow-py3

Fork hx173149/C3D-tensorflow ,and do some changes to train my own dataset

babdulhakim2/django-react-auth

Authentication template for your future full stack application

babdulhakim2/docx-to-pdf-converter

babdulhakim2/DTrack

Device tracking app

babdulhakim2/e-portfolio

babdulhakim2/eportfolio

babdulhakim2/fast-voice-assistant

⚡ Insanely fast AI voice assistant with <500ms response times

babdulhakim2/Flood-Segmentation-with-Satellite-imagery

babdulhakim2/GetRequestAndroid

Getting data from a RESTFULL API in android using Kotlin.

babdulhakim2/Linear-Regression

Linear regression seems to be the Hello World in machine learning an also one of the simplest ways to help someone understand how machine learning works. In this project, we worked on an Ecommerce data to predict how a factor X affects a factor Y.

babdulhakim2/Neural_Network_Dimystified

Implementation of neural network using Numpy

babdulhakim2/pyannote-audio

Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding

babdulhakim2/simple-regression-sklearn

This Jupyter notebook explains how you can use the Linear Regression algorithm to predict house prices based on a trained on boston dataset.

babdulhakim2/tensorflowjs-mnist

Implementation of deep learning in the browser using Tensorflow JS with a pretrained Keras model. The model predict the label of a hand written digits on a Html Canvas .

babdulhakim2/tensrfllow-mnist

A feed forward network on MNIST dataset using tensorflow. Train, test, save and load model all using Tensorflow

babdulhakim2/voicemap

Identifying people from small audio fragments

babdulhakim2/whisperkittools

Python tools for WhisperKit: Model conversion, optimization and evaluation